Journal article
Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography
Biomedical optics express, Vol.8(10), pp.4729-4741
10/01/2017
DOI: 10.1364/BOE.8.004729
PMCID: PMC5654813
PMID: 29082098
Abstract
We propose a novel suite of algorithms for automatically segmenting the airway lumen and mucus in endobronchial optical coherence tomography (OCT) data sets, as well as a novel approach for quantifying the contents of the mucus. Mucus and lumen were segmented using a robust, multi-stage algorithm that requires only minimal input regarding sheath geometry. The algorithm performance was highly accurate in a wide range of airway and noise conditions. Mucus was classified using mean backscattering intensity and grey level co-occurrence matrix (GLCM) statistics. We evaluated our techniques in vivo in asthmatic and non-asthmatic volunteers.
Details
- Title: Subtitle
- Automated segmentation and quantification of airway mucus with endobronchial optical coherence tomography
- Creators
- David C Adams - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Hamid Pahlevaninezhad - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Margit V Szabari - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Josalyn L Cho - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Daniel L Hamilos - Center for Immunology and Inflammatory Diseases, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Mehmet Kesimer - Marsico Lung Institute, University of North Carolina, Chapel Hill, NC, 27599Richard C Boucher - Marsico Lung Institute, University of North Carolina, Chapel Hill, NC, 27599Andrew D Luster - Center for Immunology and Inflammatory Diseases, Division of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Benjamin D Medoff - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114Melissa J Suter - Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114
- Resource Type
- Journal article
- Publication Details
- Biomedical optics express, Vol.8(10), pp.4729-4741
- Publisher
- Optical Society of America
- DOI
- 10.1364/BOE.8.004729
- PMID
- 29082098
- PMCID
- PMC5654813
- ISSN
- 2156-7085
- eISSN
- 2156-7085
- Grant note
- R01CA167827; R01HL133664; R37AI040618; U19AI095261 / National Institutes of Health (NIH)
- Language
- English
- Date published
- 10/01/2017
- Academic Unit
- Pulmonary, Critical Care, and Occupational Medicine; Internal Medicine
- Record Identifier
- 9984094507302771
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